Data Engineer
Listed on 2026-01-01
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IT/Tech
Data Engineer, Data Analyst
Overview
Ever‑expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an experienced data engineer to help our clients find answers in their data to impact important missions from fraud detection to cancer research, to national intelligence.
ResponsibilitiesAs a data engineer at Booz Allen, you’ll help build advanced technology solutions and implement data engineering activities on some of the most mission‑driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. You will work with and guide a multi‑disciplinary team of analysts, data engineers, developers, and data consumers in a fast‑paced, agile environment.
You will use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use data for good.
- 3+ years of experience in a data engineering or analytics engineering role in a professional environment.
- 2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis.
- Experience with SQL and a general‑purpose programming language such as Python, Java, Type Script, or C++.
- Experience creating programs for retrieving, parsing, and processing structured and unstructured data.
- Experience working with digital engagement metric tools such as Google Analytics.
- Experience developing scalable ETL and ELT workflows for reporting and analytics.
- Experience creating solutions within a collaborative, cross‑functional team environment.
- Ability to develop scripts and programs for converting various types of data into usable formats, and support project team to scale, monitor, and operate data platforms.
- Top Secret clearance.
- Bachelor's degree.
- Experience with Palantir Foundry.
- Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud.
- Experience with distributed data and computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
- Experience with natural language processing (NLP) or techniques for extracting insights from text and documents.
- Experience working on real‑time data and streaming applications, and with No
SQL implementation using Mongo
DB or Cassandra. - Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake.
- Experience with UNIX and Linux, including basic commands and Shell scripting.
- Experience with Agile engineering practices.
- TS/SCI clearance.
- Bachelor's degree in CS, Mathematics, Software Engineering, or Data Science.
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Top Secret clearance is required.
CompensationSalary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $ (annualized USD). This posting will close within 90 days from the Posting Date.
Identity StatementAs part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Work ModelIf this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.
Commitment to Non‑DiscriminationAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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